In the globalized and digitized modern society, the cultivation of English listening and speaking ability has attracted more and more attention. With the development of information technology, the application of classroom online interactive platforms in English listening and speaking teaching is becoming increasingly widespread. However, existing studies focus on the technical performance and functionality of online interactive platforms, lacking a deep understanding of students’ actual learning behaviors and teachers’ using behaviors. Moreover, most of the studies analyze the platform effect at the macro level and neglect the impact of the student-teacher interactive mode at the micro level. Therefore, this research focused on studying the hierarchical clustering of students’ online learning behaviors and the typical student-teacher interactive mode of “resource-platform-need,” aiming to fill this gap. A data-driven research method was used, which was expected to provide new understanding and perspectives, bringing new theoretical and practical values to the educational technology field. The research results helped design and optimize the online interactive platform and better met the needs of students and teachers, thus promoting the development of English listening and speaking teaching.